CAP - Consortium to Alleviate PTSD- STVHCS Biomarkers & Genomics Core

CAP - 减轻 PTSD-STVHCS 生物标志物联盟

• 批准号: 9336865
• 负责人: DOUGLAS E WILLIAMSON
• 金额: --
• 依托单位: DURHAM VA MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9336865
• 关键词: Alcohol or Other Drugs use; Automation; Autopsy; Biological; Biological Markers; Blood Specimen Collection; Blood specimen; Brain; Catalogs; Characteristics; Clinical Data; Collection; Comorbidity; DNA; Data; Data Set; Databases; Diagnosis; Diagnostic; Electronic Mail; Ensure; Epidemiology; Etiology; Exposure to; Freezing; Funding; Future; Genomics; Goals; Headache; Housing; Human; Institutes; Institution; Link; Mental Depression; Mental Health; Methods; Methylation; MicroRNAs; Monitor; Neurobiology; Notification; Pain; Persons; Phonation; Physiological; Plasma; Population; Post-Traumatic Stress Disorders; Prevention; Prevention strategy; Preventive treatment; Procedures; Proteins; Proteomics; RNA; Rehabilitation therapy; Research; Research Infrastructure; Research Personnel; Resources; Sampling; Secure; Sleep disturbances; South Texas; Specimen; Standardization; Stress; Suicide; System; Systems Biology; Technology; Telephone; Temperature; Text; Time; Tissues; Translations; Universities; Veterans; Work; base; behavioral health; biobank; biomarker discovery; clinical biomarkers; combat; genomic biomarker; improved; multidisciplinary; neuroimaging; next generation sequencing; novel; outcome forecast; physical conditioning; post-traumatic stress; prevent; prognostic; repository; research facility; service member; square foot; statistics; success; targeted sequencing; virtual

Biomarkers and Genomics Core The primary objectives of the Biomarkers and Genomics Core are to (1) support the efforts of STRONG STAR- CAP studies with biomarker or genomic components involving the collection and analysis of biological and physiological specimens; (2) to centralize the collection, processing, storage, and analysis of samples; and (3) to maintain a biospecimen repository linkable with clinical data through the overall Consortium data repository; (4) facilitate the collection of human postmortem tissue in order to accelerate PTSD biomarker discovery; and (5) link with expertise to facilitate the translation of biomarker discovery into diagnostic and prognostic panels (e.g., Lee Hood and the Institute for Systems Biology). The Biomarkers and Genomics Core will make use of an extensive infrastructure developed as part of STRONG STAR over the last four years for accelerating biomarker studies of PTSD. In addition, through our partnering arrangement with the NCPTSD, we have expanded to include the resources and expertise available at Yale University as directed by Dr. Gelertner. The Biomarkers and Genomics Core has developed extensive standardized procedures for collecting blood specimens for use in DNA, RNA, and plasma base protein and microRNA research. Standard operating procedures have been developed for PAXgene-based DNA/RNA collection and automated extraction procedures to optimize the quantity and quality of the sample yields for downstream applications. In addition, we have refined the methods for plasma collection for downstream proteomic and microRNA applications that will facilitate the proposed work by Drs. K. Young and L. Hood (see Project 3). The Core is housed in 200,000 square feet of a state-of-the-art research facility, the South Texas Research Facility, located at UTHSCSA. Core analytic infrastructure includes Illumina iScan with Tecan automation (microarray), Illumina MiSeq (small- scale NextGen sequencing), Illumina HiSeq (large-scale NextGen sequencing), Fluidigm Biomark HD (real- time PCR), Qiagen Pyromark Q96 MD (targeted sequencing/methylation), and Luminex FlexMap 3D (multiplex analyte analysis). In addition to state-of-the-art translational technologies for downstream analyses, the Biomarkers and Genomics Core also houses the STRONG STAR-CAP biorepository. The biorepository has the capacity for housing 24 freezers (-80/-130) in a secure card-accessed room. All freezers are monitored real- time on the UTHSCSA network with temperature notifications delivered via text message, e-mail, and by phone and 1-minute epoch freezer logs maintained on a virtual server. All samples are extensively catalogued using Freezerworks to track samples from their origin through their associated derivatives. Working with the Data, Statistics, and Repository Core, we are currently developing systems integrating the biorepository information in Freezerworks with the repository dataset to facilitate linking clinical and biomarker data with sample availability. In STRONG STAR-CAP, we have partnered with the Southwest Brain Bank at UTHSCSA (P. Thompson & D. Cruz) to add to the collection of human postmortem tissue (currently 180 brains overall and 10 brains from persons with PTSD) to significantly expand the availability of PTSD brains (by targeting the large VA population in San Antonio) to support the proposed biomarker discovery in Project 3 (Williamson & Hood) as well as for future studies supported by the Consortium. In addition, the Biomarkers and Genomics Core will also facilitate the collection of blood specimens in VA studies (~400/year) being collected by Dr. Acierno and colleagues.

生物标志物和基因组学核心 生物标志物和基因组学核心的主要目标是（1）支持STRONG星星的努力- CAP研究的生物标志物或基因组成分涉及收集和分析生物和 （2）集中收集、处理、储存和分析样本;（3） 通过整个联盟数据存储库维护一个包含临床数据的生物样本存储库; (4)促进人类死后组织的收集，以加速PTSD生物标志物的发现;以及 (5)与专业知识相结合，以促进生物标志物发现转化为诊断和预后面板 (e.g., Lee Hood和系统生物学研究所）。生物标志物和基因组学核心将利用 在过去四年中，作为STRONG星星的一部分，开发了广泛的基础设施，以加速 创伤后应激障碍的生物标志物研究。此外，通过与国家贸易和社会发展委员会的合作安排， 扩大到包括耶鲁大学的资源和专业知识，由博士格勒特纳。 生物标志物和基因组学核心已经制定了广泛的标准化程序，用于收集血液 用于DNA、RNA和血浆基础蛋白和microRNA研究的标本。标准作业 已经开发了基于PAXgeneDNA/RNA收集和自动提取的程序 优化下游应用样品产量的数量和质量的程序。此外，本发明还提供了一种方法， 我们已经改进了用于下游蛋白质组学和microRNA应用的血浆收集方法， 将有助于K博士的工作。杨和L. Hood（见项目3）。The Core核心is housed安置in 200，000 平方英尺的国家的最先进的研究设施，南得克萨斯州研究设施，位于UTHSCSA。核心 分析基础设施包括具有Tecan自动化的Illumina iScan（微阵列）、Illumina MiSeq（小型 规模NextGen测序）、Illumina HiSeq（大规模NextGen测序）、Fluidigm Biomark HD（真实的- 时间PCR）、Qiagen Pyromark Q96 MD（靶向测序/甲基化）和Luminex FlexMap 3D （多重分析物分析）。除了用于下游分析的最先进的转化技术外， 生物标志物和基因组学核心还设有STRONG STAR-CAP生物储存库。生物储藏库 在一个安全的卡访问室中容纳24个冰柜（-80/-130）的能力。所有冰柜都受到真实的监控- UTHSCSA网络上的时间，通过短信、电子邮件和电话发送温度通知 以及在虚拟服务器上维护的1分钟时期冻结器日志。所有样本都广泛地使用 Freezerworks通过其相关衍生物跟踪样品的来源。使用数据， 统计和储存库核心，我们目前正在开发系统集成生物储存库信息 在Freezerworks与存储库数据集，以促进临床和生物标志物数据与样本 空房的 在STRONG STAR-CAP中，我们与UTHSCSA的西南脑库（P. Thompson & D. Cruz）添加到人类死后组织的收集中（目前共有180个大脑， PTSD患者），以显著扩大PTSD大脑的可用性（通过针对大VA 人口在圣安东尼奥），以支持项目3（威廉姆森和胡德）中提出的生物标志物发现， 以及由财团支持的未来研究。此外，生物标志物和基因组学核心将 也便于Acierno博士在VA研究中采集血液标本（约400份/年）， 同事